We propose the approximate minimum-bit-error-rate (AMBER) algorithm for adapting the coefficients of a linear equalizer with pulse-amplitude and quadrature-amplitude modulation. While less complex than the least-mean-square algorithm, AMBER very nearly minimizes error probability in white Gaussian noise, and can significantly outperform the minimum-mean-squared-error equalizer when the number of equalizer coefficients is small relative to the severity of the intersymbol interference.
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